MEGHAWATH CHARAN
Hyderabad
Summary
I am a results-driven Software Engineering student with extensive experience in building scalable software solutions and machine learning models. My proven track record includes developing innovative projects like gesture-based quiz apps and mobile applications that address realworld challenges. Currently, I am interning at DRDL, where I am involved in object detection research, and I am passionate about applying AI and full-stack development to solve complex problems.
Overview
1
1
Certification
Work History
Intern
DRDL
Hyderabad
01.2025 - 04.2025
- Company Overview: A premier research and development establishment under the Ministry of Defence
- Worked on an object detection project aimed at identifying and tracking objects in real time using computer vision and deep learning techniques
- Collected and prepared datasets, trained object detection models, and evaluated their performance
- Implemented models using frameworks like YOLO and SSD to improve detection accuracy and speed
- Contributed to testing and refining the model for use in defense-related applications
- A premier research and development establishment under the Ministry of Defence
Education
Bachelor of Technology (B.Tech) - Information Technology
MRCET
05.2025
Intermediate -
Sri Chaitanya
05.2021
SSC (Secondary School Certificate) -
Bhashyam High School
05.2019
Skills
- Java
- Python
- SQL
- JavaScript
- HTML5
- CSS3
- Web Technologies
- Google Cloud Platform (GCP)
- CI/CD Concepts
- Data Handling
- Version Control Systems
- Agile/Scrum Methodology
Certification
- Full Stack Developer Internship - Certificate of Participation (Unstop)
- Cambridge English B2 Level - Certified by Cambridge University Press & Assessment
Projects
Facial Recognition Attendance System | 2024
Technologies: Python, OpenCV, face_recognition, NumPy, CSV
Built a real-time attendance system that detects and recognizes faces from webcam input, compares them with a known face database, and logs timestamped entries in a CSV file. Implemented white balance correction and live face annotation for improved accuracy and user experience.
Smart Quiz Interactive (Gesture Controlled) | 2024
Technologies: Python, OpenCV, MediaPipe, NumPy
Developed an interactive quiz application that allows users to select answers using hand gestures. Implemented finger tracking and gesture detection by combining OpenCV and MediaPipe. Designed the system to register an answer when users bring their index and middle fingers together, creating a fun and hands-free quiz experience.
Aqua at Doorstep (Android App) | 2023
Technologies: Java, Android Studio, Firebase (Auth & Realtime DB), Google Maps API, Razorpay
Built a water delivery Android application featuring login and dashboards for customers, sellers, and riders. Integrated real-time order tracking using Google Maps, Firebase authentication for secure login, and Razorpay for online payments. Included features like animated splash screen, order history, password reset, and a clean material design UI for smooth navigation.
Timeline
Intern
DRDL
01.2025 - 04.2025
Bachelor of Technology (B.Tech) - Information Technology
MRCET
Intermediate -
Sri Chaitanya
SSC (Secondary School Certificate) -
Bhashyam High School
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